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- import os.path
- import numpy as np
- from whisper.audio import SAMPLE_RATE, load_audio, log_mel_spectrogram
- def test_audio():
- audio_path = os.path.join(os.path.dirname(__file__), "jfk.flac")
- audio = load_audio(audio_path)
- assert audio.ndim == 1
- assert SAMPLE_RATE * 10 < audio.shape[0] < SAMPLE_RATE * 12
- assert 0 < audio.std() < 1
- mel_from_audio = log_mel_spectrogram(audio)
- mel_from_file = log_mel_spectrogram(audio_path)
- assert np.allclose(mel_from_audio, mel_from_file)
- assert mel_from_audio.max() - mel_from_audio.min() <= 2.0
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